Published in Aerospace Testing International
Written by Abigail Williams
There are several vital steps and considerations to ensure data quality during experimental testing.
The collection and interpretation of high quality, accurate and reliable data is a fundamentally important element of the aerospace testing and certification process. The pursuit of constant improvements in data acquisition methods and technologies used by engineers in ground and flight testing continues to be a key focus for both equipment suppliers and OEMs.
Engineers adopt different approaches to ensure data quality in aerospace testing. They employ best practice techniques to data acquisition and management to keep data accurate and results reliable. Environmental factors such as temperature, pressure and vibration can impact data quality and must be dealt with. Meanwhile data must also now be suitable for use by innovative technologies like machine learning and AI during data analysis.